https://www.selleckchem.com/products/indisulam.html Acute stroke care demands real-time, specialist-led treatment decisions, including thrombolysis and referral for mechanical thrombectomy. Pathways designed to deliver time-critical interventions for stroke patients are under intense pressure due to the impact of COVID-19 pandemic. In response to this unprecedented burden on acute care services, stroke clinicians are having to reconfigure existing clinical pathways both within and between hospitals. Incorporating artificial intelligence and digital communication support into clinical pathways offers an opportunity to mitigate the disruption to acute stroke care. In this case study we describe how Royal Berkshire Hospital, working collaboratively with Brainomix, a UK-based artificial intelligence software company, adopted technological innovation and integrated it into the hyperacute stroke pathway. A case is presented to demonstrate how this innovation can support patient care and deliver successful patient outcomes. We believe this model can be adopted in other hospitals and networks to deliver safe and efficient hyperacute stroke care.COVID-19 presents an unprecedented challenge to hospitals and the systems in which they operate. The primary exponential surge of COVID-19 cases is arguably the most devastating event a hospital will face. In some countries, these surges during the initial outbreak of the disease have resulted in hospitals suffering from significant resource strain, leading to excess patient mortality and negatively impacting staff wellbeing. As experience builds in managing these surges, it has become evident that agile, tailored planning tools are required. The comprehensive hospital agile preparedness (CHAPs) tool provides clinical planners with six key domains to consider that frequently create resource strain during COVID-19; it also allows local planners to identify issues unique to their hospital, system or region. Although this tool has been